ArticleDrug design, development and therapy2023
Integrating Network Pharmacology, Molecular Docking and Pharmacological Evaluation for Exploring the
Article in Drug design, development and therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 9 citations in OpenAlex.
- Network Pharmacology Reveals the Potential Mechanism of Ketamine in Improving Cognitive Impairment in Patients With Depression.Alpha psychiatry · 2026Article
- Curculigoside Alleviates CSDS-induced Depressive-like Behavior by Modulating Pyramidal Neuron Excitability and Synaptic Transmission.Neuromolecular medicine · 2026Article
- Computational Network Pharmacology, Molecular Docking, and Molecular Dynamics to Decipher Natural Compounds ofPharmaceuticals (Basel, Switzerland) · 2025Article
- Chronic Corticosterone Administration-Induced Mood Disorders in Laboratory Rodents: Features, Mechanisms, and Research Perspectives.International journal of molecular sciences · 2024Review
- [Oral submucosal fibrosis induced by active components in areca nut: a network pharmacology-based analysis and validation of the mechanism].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2024Article
- Integrating network pharmacology with molecular docking to rationalize the ethnomedicinal use ofFrontiers in pharmacology · 2024Article
- (+)-catechin protects PC12 cells against CORT-induced oxidative stress and pyroptosis through the pathways of PI3K/AKT and Nrf2/HO-1/NF-κB.Frontiers in pharmacology · 2024Article
- Active Fraction of Polyrhachis Vicina Roger (AFPR) Ameliorate Depression Induced Inflammation Response by FTO/miR-221-3p/SOCS1 Axis.Journal of inflammation research · 2023Article
Corrections and comments
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Authors and funding
15 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: To investigate the mechanisms of antidepressant action of active fraction of Methods: GC-MS was used to predict chemical compounds, corresponding databases were used to predict chemical compound targets and depression targets, Cytoscape software was used to construct and analyze the protein interaction network map, DAVID database was used to analyze gene ontology (GO) and KEGG signaling pathway, and AGFR software was used to perform molecular docking. Subsequently, the underlying action mechanisms of AFPR on depression predicted by network pharmacology analyses were experimentally validated in a CORT-induced depression model in vitro and in vivo. Results: A total of 52 potential targets of AFPR on antidepressant were obtained. GO is mainly related to chemical synaptic transmission, signal transduction and others. KEGG signaling pathways are mainly related to cAMP signaling pathway and C-type lectin receptor signaling pathway. The experiment results showed that AFPR significantly increased the expression of PRKACA, CREB and BDNF in mouse brain tissue and PC12 cells. Furthermore, after interfered of cAMP in PC12 cells, the decreased expression of PRKACA, CREB and BDNF was reversed by AFPR. Conclusion: AFPR may exert antidepressant effects through multiple components, targets and pathways. Furthermore, it could improve neuroplasticity via the cAMP signaling pathway to improve depression-like symptoms.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.